Mohamed Rami Gaddem , Junu Kim , Kensaku Matsunami , Yusuke Hayashi , Sara Badr , Hirokazu Sugiyama
{"title":"Roles of mechanistic, data-driven, and hybrid modeling approaches for pharmaceutical process design and operation","authors":"Mohamed Rami Gaddem , Junu Kim , Kensaku Matsunami , Yusuke Hayashi , Sara Badr , Hirokazu Sugiyama","doi":"10.1016/j.coche.2024.101019","DOIUrl":null,"url":null,"abstract":"<div><p>This work presents a bird’s eye view depicting current trends in the pharmaceutical industry and the role of mathematical modeling in process design and operation within the framework of quality by design for a general readership in the field of chemical engineering. The paper outlines the vectors of change that are moving the pharmaceutical industry toward adopting new trends. The role of mathematical modeling is fundamental in accompanying the change taking place. A brief overview of model classification from a regulatory versus engineering point of view and recent progress in modeling in different pharmaceutical manufacturing subfields is illustrated. The short review concludes with important points to consider for maximizing the benefit of modeling in the pharmaceutical manufacturing field.</p></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"44 ","pages":"Article 101019"},"PeriodicalIF":8.0000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211339824000200","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents a bird’s eye view depicting current trends in the pharmaceutical industry and the role of mathematical modeling in process design and operation within the framework of quality by design for a general readership in the field of chemical engineering. The paper outlines the vectors of change that are moving the pharmaceutical industry toward adopting new trends. The role of mathematical modeling is fundamental in accompanying the change taking place. A brief overview of model classification from a regulatory versus engineering point of view and recent progress in modeling in different pharmaceutical manufacturing subfields is illustrated. The short review concludes with important points to consider for maximizing the benefit of modeling in the pharmaceutical manufacturing field.
期刊介绍：
Current Opinion in Chemical Engineering is devoted to bringing forth short and focused review articles written by experts on current advances in different areas of chemical engineering. Only invited review articles will be published.
The goals of each review article in Current Opinion in Chemical Engineering are:
1. To acquaint the reader/researcher with the most important recent papers in the given topic.
2. To provide the reader with the views/opinions of the expert in each topic.
The reviews are short (about 2500 words or 5-10 printed pages with figures) and serve as an invaluable source of information for researchers, teachers, professionals and students. The reviews also aim to stimulate exchange of ideas among experts.
Themed sections:
Each review will focus on particular aspects of one of the following themed sections of chemical engineering:
1. Nanotechnology
2. Energy and environmental engineering
3. Biotechnology and bioprocess engineering
4. Biological engineering (covering tissue engineering, regenerative medicine, drug delivery)
5. Separation engineering (covering membrane technologies, adsorbents, desalination, distillation etc.)
6. Materials engineering (covering biomaterials, inorganic especially ceramic materials, nanostructured materials).
7. Process systems engineering
8. Reaction engineering and catalysis.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
